M. Marsh
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Cancer therapeutics and mechanisms
Papers in
-
- Protein Structure and Dynamics 9
- DNA Repair Mechanisms 2
- 14-3-3 protein interactions 2
- Photosynthetic Processes and Mechanisms 2
-
- Enzyme Structure and Function 10
- Co-authors
- A. D’Arcy (2 shared papers)Frédéric Villard (1 shared paper)Michel O. Steinmetz (3 shared papers)Katja Bargsten (3 shared papers)J. Fernando Dı́az (3 shared papers)Karl‐Heinz Altmann (3 shared papers)A.E. Prota (3 shared papers)John H. Miller (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Smart Materials and Structures (1 paper)Chemical Science (1 paper)Quarterly Reviews of Biophysics (1 paper)Sensors (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
M. Marsh
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Cell Biology 244
- Molecular Biology 1.0k
- Organic Chemistry 346
- Oncology 236
- Structural Biology 14
Countries citing papers authored by M. Marsh
This map shows the geographic impact of M. Marsh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Marsh more than expected).
Fields of papers citing papers by M. Marsh
This network shows the impact of papers produced by M. Marsh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Marsh. The network helps show where M. Marsh may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Marsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 231 | |
| 2 | 2007 | 176 | |
| 3 | 2014 | 168 | |
| 4 | 2014 | 105 | |
| 5 | 2013 | 102 | |
| 6 | 2014 | 92 | |
| 7 | 2015 | 92 | |
| 8 | 2011 | 90 | |
| 9 | 2012 | 86 | |
| 10 | 2013 | 83 | |
| 11 | 2014 | 64 | |
| 12 | 2011 | 49 | |
| 13 | 2016 | 43 | |
| 14 | 2018 | 29 | |
| 15 | 2012 | 24 | |
| 16 | 2008 | 20 | |
| 17 | 2010 | 18 | |
| 18 | 2010 | 16 | |
| 19 | 2016 | 12 | |
| 20 | 2018 | 11 |
About M. Marsh
M. Marsh is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Computational Theory and Mathematics and Organic Chemistry, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (9 papers), Microtubule and mitosis dynamics (4 papers), Computational Drug Discovery Methods (3 papers), DNA Repair Mechanisms (2 papers), 14-3-3 protein interactions (2 papers), Cancer Treatment and Pharmacology (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (244 citations), Molecular Biology (1.0k citations), Organic Chemistry (346 citations), Oncology (236 citations) and Structural Biology (14 citations). M. Marsh has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include A. D’Arcy, Frédéric Villard, Michel O. Steinmetz, Katja Bargsten, J. Fernando Dı́az, Karl‐Heinz Altmann, A.E. Prota, John H. Miller, Marko Hyvönen and Tom L. Blundell. Their work appears in journals such as Journal of Molecular Biology, Smart Materials and Structures, Chemical Science, Quarterly Reviews of Biophysics and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.